Depeng Jin

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 266

Top Venues

CoRR

WWW

IEEE Trans. Knowl. Data Eng.

IEEE Trans. Veh. Technol.

Publications

Huandong Wang, Qizhong Zhang, Yuchen Wu, Depeng Jin, Xing Wang, Lin Zhu, Li Yu
Synthesizing Human Trajectories Based on Variational Point Processes. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Jun Zhang, Wenxuan Ao, Junbo Yan, Can Rong, Depeng Jin, Wei Wu, Yong Li
MOSS: A Large-scale Open Microscopic Traffic Simulation System. CoRR (2024)
Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. CoRR (2024)
Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation. ICLR (2024)
Yu Liu, Zhilun Zhou, Yong Li, Depeng Jin
Urban Knowledge Graph Aided Mobile User Profiling. ACM Trans. Knowl. Discov. Data 18 (1) (2024)
Yuan Yuan, Jingtao Ding, Huandong Wang, Depeng Jin
Generating Daily Activities with Need Dynamics. ACM Trans. Intell. Syst. Technol. 15 (2) (2024)
Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. KDD (2024)
Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Yong Li
Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing. WWW (2024)
Jinwei Zeng, Guozhen Zhang, Jian Yuan, Yong Li, Depeng Jin
Empowering Predictive Modeling by GAN-based Causal Information Learning. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Yingrong Qin, Chen Gao, Shuangqing Wei, Yue Wang, Depeng Jin, Jian Yuan, Lin Zhang, Dong Li, Jianye Hao, Yong Li
Learning from Hierarchical Structure of Knowledge Graph for Recommendation. ACM Trans. Inf. Syst. 42 (1) (2024)
Zhilun Zhou, Yuming Lin, Depeng Jin, Yong Li
Large Language Model for Participatory Urban Planning. CoRR (2024)
Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning. CoRR (2024)
Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li
Inverse Learning with Extremely Sparse Feedback for Recommendation. WSDM (2024)
Nian Li, Yunzhu Pan, Chen Gao, Depeng Jin, Qingmin Liao
Full-stage Diversified Recommendation: Large-scale Online Experiments in Short-video Platform. WWW (2024)
Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li
A Generative Pre-Training Framework for Spatio-Temporal Graph Transfer Learning. CoRR (2024)
Yuhan Quan, Jingtao Ding, Chen Gao, Nian Li, Lingling Yi, Depeng Jin, Yong Li
Alleviating Video-length Effect for Micro-video Recommendation. ACM Trans. Inf. Syst. 42 (2) (2024)
Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
Rumor Mitigation in Social Media Platforms with Deep Reinforcement Learning. WWW (Companion Volume) (2024)
Xiaochong Lan, Chen Gao, Depeng Jin, Yong Li
Stance Detection with Collaborative Role-Infused LLM-Based Agents. ICWSM (2024)
Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li, Meng Wang
Mixed Attention Network for Cross-domain Sequential Recommendation. WSDM (2024)
Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li
UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction. CoRR (2024)
Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
MetroGNN: Metro Network Expansion with Reinforcement Learning. WWW (Companion Volume) (2024)
Tong Xia, Yong Li, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Depeng Jin
History-enhanced and Uncertainty-aware Trajectory Recovery via Attentive Neural Network. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Jun Zhang, Wenxuan Ao, Junbo Yan, Depeng Jin, Yong Li
A GPU-accelerated Large-scale Simulator for Transportation System Optimization Benchmarking. CoRR (2024)
Hongyuan Su, Yu Zheng, Jingtao Ding, Depeng Jin, Yong Li
MetroGNN: Metro Network Expansion with Reinforcement Learning. CoRR (2024)
Huiming Chen, Huandong Wang, Quanming Yao, Yong Li, Depeng Jin, Qiang Yang
LoSAC: An Efficient Local Stochastic Average Control Method for Federated Optimization. ACM Trans. Knowl. Discov. Data 17 (4) (2023)
Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. AAAI (2023)
Wenzhen Huang, Tong Li, Yuting Cao, Zhe Lyu, Yanping Liang, Li Yu, Depeng Jin, Junge Zhang, Yong Li
Safe-NORA: Safe Reinforcement Learning-based Mobile Network Resource Allocation for Diverse User Demands. CIKM (2023)
Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li
Spatio-temporal Diffusion Point Processes. CoRR (2023)
Jinzhu Mao, Liu Cao, Chen Gao, Huandong Wang, Hangyu Fan, Depeng Jin, Yong Li
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network. KDD (2023)
Guozhen Zhang, Fengli Xu, Yuan Yuan, Depeng Jin
Understanding the Influence of Social Hubs in Diffusion Processes Driven by Incentivized Friend Invitation. IEEE Trans. Comput. Soc. Syst. 10 (4) (2023)
Mudan Wang, Huan Yan, Huandong Wang, Yong Li, Depeng Jin
Contagion Process Guided Cross-scale Spatio-Temporal Graph Neural Network for Traffic Congestion Prediction. SIGSPATIAL/GIS (2023)
Guozhen Zhang, Tian Ye, Depeng Jin, Yong Li
An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction. WWW (2023)
Jiahui Gong, Yu Liu, Tong Li, Haoye Chai, Xing Wang, Junlan Feng, Chao Deng, Depeng Jin, Yong Li
Empowering Spatial Knowledge Graph for Mobile Traffic Prediction. SIGSPATIAL/GIS (2023)
Yunzhu Pan, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Depeng Jin, Yong Li
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. RecSys (2023)
Shiyuan Zhang, Tong Li, Shuodi Hui, Guangyu Li, Yanping Liang, Li Yu, Depeng Jin, Yong Li
Deep Transfer Learning for City-scale Cellular Traffic Generation through Urban Knowledge Graph. KDD (2023)
Yunzhu Pan, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Depeng Jin, Yong Li
Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation. CoRR (2023)
Zhilun Zhou, Jingtao Ding, Yu Liu, Depeng Jin, Yong Li
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion. CoRR (2023)
Huandong Wang, Huan Yan, Can Rong, Yuan Yuan, Fenyu Jiang, Zhenyu Han, Hongjie Sui, Depeng Jin, Yong Li
Multi-Scale Simulation of Complex Systems: A Perspective of Integrating Knowledge and Data. CoRR (2023)
Fuxian Li, Jie Feng, Huan Yan, Guangyin Jin, Fan Yang, Funing Sun, Depeng Jin, Yong Li
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution. ACM Trans. Knowl. Discov. Data 17 (1) (2023)
Yuan Yuan, Fengli Xu, Hancheng Cao, Guozhen Zhang, Pan Hui, Yong Li, Depeng Jin
Persuade to Click: Context-Aware Persuasion Model for Online Textual Advertisement. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. SIGIR (2023)
Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li
Inverse Learning with Extremely Sparse Feedback for Recommendation. CoRR (2023)
Yu Shang, Yudong Zhang, Jiansheng Chen, Depeng Jin, Yong Li
Transferable Structure-based Adversarial Attack of Heterogeneous Graph Neural Network. CIKM (2023)
Shuodi Hui, Huandong Wang, Tong Li, Xinghao Yang, Xing Wang, Junlan Feng, Lin Zhu, Chao Deng, Pan Hui, Depeng Jin, Yong Li
Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns. KDD (2023)
Zhilun Zhou, Jingtao Ding, Yu Liu, Depeng Jin, Yong Li
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion. SIGSPATIAL/GIS (2023)
Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin, Yong Li
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation. CoRR (2023)
Jianxin Chang, Chen Gao, Xiangnan He, Depeng Jin, Yong Li
Bundle Recommendation and Generation With Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Jinzhu Mao, Liu Cao, Chen Gao, Huandong Wang, Hangyu Fan, Depeng Jin, Yong Li
Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network. CoRR (2023)
Mudan Wang, Yuan Yuan, Huan Yan, Hongjie Sui, Fan Zuo, Yue Liu, Yong Li, Depeng Jin
Discovering Causes of Traffic Congestion via Deep Transfer Clustering. ACM Trans. Intell. Syst. Technol. 14 (5) (2023)
Haoqiang Liu, Zefang Zong, Yong Li, Depeng Jin
NeuroCrossover: An intelligent genetic locus selection scheme for genetic algorithm using reinforcement learning. Appl. Soft Comput. 146 (2023)
Nian Li, Chen Gao, Depeng Jin, Qingmin Liao
Disentangled Modeling of Social Homophily and Influence for Social Recommendation. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li
Road Planning for Slums via Deep Reinforcement Learning. CoRR (2023)
Tong Li, Li Yu, Yibo Ma, Tong Duan, Wenzhen Huang, Yan Zhou, Depeng Jin, Yong Li, Tao Jiang
Carbon emissions and sustainability of launching 5G mobile networks in China. CoRR (2023)
Yunzhu Pan, Nian Li, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li
Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System. CIKM (2023)
Yingrong Qin, Chen Gao, Yue Wang, Shuangqing Wei, Depeng Jin, Jian Yuan, Lin Zhang
Disentangling Geographical Effect for Point-of-Interest Recommendation. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Zhilun Zhou, Yu Liu, Jingtao Ding, Depeng Jin, Yong Li
Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network. WWW (2023)
Jiahui Gong, Qiaohong Yu, Tong Li, Haoqiang Liu, Jun Zhang, Hangyu Fan, Depeng Jin, Yong Li
Demo: Scalable Digital Twin System for Mobile Networks with Generative AI. MobiSys (2023)
Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Zhiheng Li, Depeng Jin, Yong Li
Dual-interest Factorization-heads Attention for Sequential Recommendation. CoRR (2023)
Xiaochong Lan, Chen Gao, Depeng Jin, Yong Li
Stance Detection with Collaborative Role-Infused LLM-Based Agents. CoRR (2023)
Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Zhiheng Li, Depeng Jin, Yong Li
Dual-interest Factorization-heads Attention for Sequential Recommendation. WWW (2023)
Yuan Yuan, Jingtao Ding, Chenyang Shao, Depeng Jin, Yong Li
Spatio-temporal Diffusion Point Processes. KDD (2023)
Wenxuan Ao, Guozhen Zhang, Yong Li, Depeng Jin
Learning to Solve Grouped 2D Bin Packing Problems in the Manufacturing Industry. KDD (2023)
Yu Zheng, Yuming Lin, Liang Zhao, Tinghai Wu, Depeng Jin, Yong Li
Spatial planning of urban communities via deep reinforcement learning. Nat. Comput. Sci. 3 (9) (2023)
Yunzhu Pan, Nian Li, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li
Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System. CoRR (2023)
Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li
Robust Preference-Guided Denoising for Graph based Social Recommendation. CoRR (2023)
Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Huimin Ma, Yong Li
Enhancing Adversarial Robustness of Multi-modal Recommendation via Modality Balancing. ACM Multimedia (2023)
Yu Zheng, Hongyuan Su, Jingtao Ding, Depeng Jin, Yong Li
Road Planning for Slums via Deep Reinforcement Learning. KDD (2023)
Zihan Yu, Guozhen Zhang, Yong Li, Depeng Jin
Understanding and Modeling Collision Avoidance Behavior for Realistic Crowd Simulation. CIKM (2023)
Fuxian Li, Huan Yan, Hongjie Sui, Deng Wang, Fan Zuo, Yue Liu, Yong Li, Depeng Jin
Periodic Shift and Event-aware Spatio-Temporal Graph Convolutional Network for Traffic Congestion Prediction. SIGSPATIAL/GIS (2023)
Chen Gao, Xiaochong Lan, Zhihong Lu, Jinzhu Mao, Jinghua Piao, Huandong Wang, Depeng Jin, Yong Li
: Social-network Simulation System with Large Language Model-Empowered Agents. CoRR (2023)
Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin, Yong Li
Robust Preference-Guided Denoising for Graph based Social Recommendation. WWW (2023)
Yuhan Quan, Jingtao Ding, Chen Gao, Nian Li, Lingling Yi, Depeng Jin, Yong Li
Alleviating Video-Length Effect for Micro-video Recommendation. CoRR (2023)
Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Meng Wang, Yong Li
Learning Fine-grained User Interests for Micro-video Recommendation. SIGIR (2023)
Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li, Meng Wang
Mixed Attention Network for Cross-domain Sequential Recommendation. CoRR (2023)
Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li
Learning to Simulate Daily Activities via Modeling Dynamic Human Needs. WWW (2023)
Chen Gao, Tzu-Heng Lin, Nian Li, Depeng Jin, Yong Li
Cross-Platform Item Recommendation for Online Social E-Commerce. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Yu Zheng, Chen Gao, Xiangnan He, Depeng Jin, Yong Li
Incorporating Price into Recommendation With Graph Convolutional Networks. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Jinwei Chen, Zefang Zong, Yunlin Zhuang, Huan Yan, Depeng Jin, Yong Li
Reinforcement Learning for Practical Express Systems with Mixed Deliveries and Pickups. ACM Trans. Knowl. Discov. Data 17 (3) (2023)
Huiming Chen, Huandong Wang, Depeng Jin, Yong Li
Advancements in Federated Learning: Models, Methods, and Privacy. CoRR (2023)
Tong Li, Fenyu Jiang, Qiaohong Yu, Wenzhen Huang, Tao Jiang, Depeng Jin
How AI-driven Digital Twins Can Empower Mobile Networks. CoRR (2023)
Guozhen Zhang, Jinhui Yi, Jian Yuan, Yong Li, Depeng Jin
DAS: Efficient Street View Image Sampling for Urban Prediction. ACM Trans. Intell. Syst. Technol. 14 (2) (2023)
Jun Zhang, Wenxuan Ao, Depeng Jin, Li Liu, Yong Li
A City-level High-performance Spatio-temporal Mobility Simulation System. SuMob@SIGSPATIAL (2023)
Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. Trans. Recomm. Syst. 1 (1) (2023)
Yuan Yuan, Huandong Wang, Jingtao Ding, Depeng Jin, Yong Li
Learning to Simulate Daily Activities via Modeling Dynamic Human Needs. CoRR (2023)
Jie Feng, Yong Li, Kai Zhao, Zhao Xu, Tong Xia, Jinglin Zhang, Depeng Jin
DeepMM: Deep Learning Based Map Matching With Data Augmentation. IEEE Trans. Mob. Comput. 21 (7) (2022)
Shuodi Hui, Huandong Wang, Zhenhua Wang, Xinghao Yang, Zhongjin Liu, Depeng Jin, Yong Li
Knowledge Enhanced GAN for IoT Traffic Generation. WWW (2022)
Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang
DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. CoRR (2022)
Guozhen Zhang, Zihan Yu, Depeng Jin, Yong Li
Physics-infused Machine Learning for Crowd Simulation. KDD (2022)
Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li
Disentangling Long and Short-Term Interests for Recommendation. CoRR (2022)
Erzhuo Shao, Huandong Wang, Jie Feng, Tong Xia, Hedong Yang, Lu Geng, Depeng Jin, Yong Li
DeepFlowGen: Intention-Aware Fine Grained Crowd Flow Generation via Deep Neural Networks. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Yu Zheng, Chen Gao, Jingtao Ding, Lingling Yi, Depeng Jin, Yong Li, Meng Wang
DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias. ACM Multimedia (2022)
Yu Zheng, Chen Gao, Jianxin Chang, Yanan Niu, Yang Song, Depeng Jin, Yong Li
Disentangling Long and Short-Term Interests for Recommendation. WWW (2022)
Jie Feng, Yong Li, Zeyu Yang, Mingyang Zhang, Huandong Wang, Hancheng Cao, Depeng Jin
User Identity Linkage via Co-Attentive Neural Network From Heterogeneous Mobility Data. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Chen Gao, Nian Li, Tzu-Heng Lin, Dongsheng Lin, Jun Zhang, Yong Li, Depeng Jin
Social Recommendation With Characterized Regularization. IEEE Trans. Knowl. Data Eng. 34 (6) (2022)
Chang Liu, Chen Gao, Yuan Yuan, Chen Bai, Lingrui Luo, Xiaoyi Du, Xinlei Shi, Hengliang Luo, Depeng Jin, Yong Li
Modeling Persuasion Factor of User Decision for Recommendation. KDD (2022)
Shuodi Hui, Huandong Wang, Dianlei Xu, Jing Wu, Yong Li, Depeng Jin
Distinguishing Between Smartphones and IoT Devices via Network Traffic. IEEE Internet Things J. 9 (2) (2022)
Qiaohong Yu, Huandong Wang, Tong Li, Depeng Jin, Xing Wang, Lin Zhu, Junlan Feng, Chao Deng
Network Traffic Overload Prediction with Temporal Graph Attention Convolutional Networks. ICC Workshops (2022)
Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin, Yong Li
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction. CoRR (2022)
Yinfeng Li, Chen Gao, Hengliang Luo, Depeng Jin, Yong Li
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation. SIGIR (2022)
Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li
Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks. CIKM (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Depeng Jin